Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FC3C670679156A7233771E560774B59329B970EED070AC0A3BCF2C2A7DACD1AD378A0 |
|
CONTENT
ssdeep
|
768:qbOZF45zEz4jzDaz1eF1z0Nk77fGB9kWT7fBDsXDfe9t4Uf7YA8+M4y3MHhIv6RQ:u1oPBrQ87B7y3UfvQV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c9d026793cceb8c6 |
|
VISUAL
aHash
|
427c7e3c38183000 |
|
VISUAL
dHash
|
9ed0d4f07351c049 |
|
VISUAL
wHash
|
7f7c7e7c383c3000 |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
c0d0b23030f0e0f8,e5a5a5a584cc7c5c,2626d5d5275a5a65,9ed0d4f07351c049 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 143 techniques to evade detection by security scanners and make reverse engineering more difficult.